Global Indemnity (GBLI) Operating Expenses (2024 - 2025)
Global Indemnity (GBLI) reported Operating Expenses of $7.84 million for Q3 2025, up 32.4% from $5.92 million a year earlier and up 4.2% from the prior quarter.
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Analysis
Global Indemnity (GBLI) Operating Expenses (2024 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Global Indemnity's Operating Expenses came in at $30.8 million.
- Five-year quarterly Operating Expenses spans a low of $5.92 million in Q3 2024 and a high of $9.5 million in Q1 2025.
- Year over year, Operating Expenses has now increased in each of the last three quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.65 Bn | 84.23 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 129.27 Bn | 105.11 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 90.79 Bn | 82.95 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 83.98 Bn | 60.23 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 77.09 Bn | -17.80 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 66.40 Bn | 60.80 Bn | - | 3.59 Bn |
| 7 | Metlife | 65.77 Bn | -41.01 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 64.29 Bn | 25.56 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 62.89 Bn | 56.11 Bn | - | 3.33 Bn |
| 10 | Global Indemnity | 338.69 Mn | -42.98 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.84 Mn |
| Jun 30, 2025 | 7.53 Mn |
| Mar 31, 2025 | 9.50 Mn |
| Sep 30, 2024 | 5.92 Mn |
| Jun 30, 2024 | 6.38 Mn |
| Mar 31, 2024 | 6.37 Mn |
API Access
Global Indemnity Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=GBLI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GBLI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GBLI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();